The steady decline of unbiased access to decent work and the
increase in discrimination constitute noticeable features of the current
labor market. (Blustein et al., 2019) The digital refashioning of labor
markets that encompasses automation of diverse tasks somewhat
dissimilarly impacts jobs at the present time held by men and women.
(Krieger-Boden and Sorgner, 2018) Professional activity in technological
cities is defined by points of contact, typified by intense knowledge
and cognizance of masculine culture that confines women's
advancement. (Hardey, 2019)

2. Conceptual Framework and Literature Review

If the gender partiality that is deep-seated in the contemporary
social order is not addressed directly, the subsequent realm of
technology-driven work tends to aggravate gender fairness gaps.
(Howcroft and Rubery, 2019) The automation of work operations,
accelerated by digital technologies (Bolton et al., 2018; Freeman-Moir,
2017; Hardingham et al., 2018; Meila, 2018; Mihaila, 2018; Nica, 2018;
Popescu Ljungholm, 2017; Schinckus, 2018; Vochozka et al., 2018), may
influence women's labor market insertion by altering the necessity
for standard women's jobs dissimilarly from that for standard
men's jobs. (Krieger-Boden and Sorgner, 2018) Automation, by
intensifying the need for capital, raises its price over a brief period
of time, which reduces the possible output gains that can be accumulated
by replacing the more cost-effective capital for the higher-priced labor
in the automated tasks. Over a lengthy period of time, the price of
capital continues to be stable, and therefore output gains will be more
significant. (Acemoglu and Restrepo, 2018) The proliferation of
precarious work quickly endangers individuals' capacity to sustain
themselves, especially in economies that do not supply a feasible
government aid or living wages. (Blustein et al., 2019)

3. Methodology and Empirical Analysis

Using and replicating data from Brookings Institution, CNBC, IWPR,
McKinsey, PIAAC, and PwC, we performed analyses and made estimates
regarding share of jobs with potential high rates of automation by
worker characteristics (%, across countries), the number of women and
men in occupations with low and high risk of automation, and in the
total workforce (2014-2018, in millions), and share of tasks that could
be automated with current technologies (%). The results of a study based
on collected data and estimates provide support for our research model.

4. Results and Discussion

Technological developments will amplify the moderate demand for the
tasks and skills they integrate, and diminish the corresponding demand
for the ones they can substitute. (Krieger-Boden and Sorgner, 2018)
Working can both satisfy and circumvent numerous of the demands that
provide individuals a sense of aspiration, meaning, and enjoyment in
their lives. Increasing insecurity and unpredictability at work generate
significant discomfort for personnel and communities. (Blustein et al.,
2019) Approaches and professional identities established around work and
social connections in technological cities display the relevance of
skilled communities and networks in backing women to handle
non-acceptance and career obstacles. (Hardey, 2019) (Tables 1-4)

5. Conclusions and Implications

Cutting-edge advancements in the sphere of artificial intelligence
provide groundbreaking prospects for women to enhance their involvement
in the economic activity, thus considerably improving their financial
and social self-governance. (Krieger-Boden and Sorgner, 2018) Low-skill
automation coincides with tasks until now carried out by untrained labor
being substituted by machines, while high-skill automation entails an
innovative stage of robotization in which machines proceed participating
in tasks in which trained personnel specialize. (Acemoglu and Restrepo,
2018) By dispossessing individuals of the protection and meaning that
work may ideally offer, unstable work and joblessness reduce entitlement
to the external and internal resources (Ciobanu et al., 2019; Grossman,
2018; Means, 2017; Mihaila et al., 2018; Mitea, 2018; Pilkington, 2017;
Popescu Ljungholm, 2018a, b, c; Syaglova, 2017) that are required to
handle the intricate challenges of life. (Blustein et al., 2019)

Funding

This paper was supported by Grant GE-4285981 from the San Francisco
Center for IoT Economy, CA.

Author Contributions

All authors listed have made a substantial, direct and intellectual
contribution to the work, and approved it for publication.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence
of any commercial or financial relationships that could be construed as
a potential conflict of interest.